152 results about "Unified Model" patented technology

The preferred embodiment provides a system and method for automatically generating enterprise software applications with minimal level of manual coding. The preferred embodiment provide a graphical design tool that models an application using Unified Model Language (UML), validate the UML model, and automatically generate deployable application. The preferred embodiment also provides a framework of libraries that the target application can be build from.

Subtleties of advanced fabrication processes and nano-scale phenomena associated with integrated circuit miniaturization have exposed the insufficiencies of design rules. Such inadequacies have adverse impact on all parts of the integrated circuit creation flow where design rules are used. In addition, segregation of the various layout data modification steps required for deep sub-micrometer manufacturing are resulting in slack and inefficiencies. This invention describes methods to improve integrated circuit creation via the use of a unified model of fabrication processes and circuit elements that can complement or replace design rules. By capturing the interdependence among fabrication processes and circuit elements, the unified model enables efficient layout generation, resulting in better integrated circuits.

Designing and executing a workflow having flow-based and constraint-based regions. A user selects one or more activities to be part of a constraint-based region. Each constraint-based region has a constraint associated therewith. The workflow is executed by executing the flow-based region and the constraint-based region. The flow-based region executes sequentially. The constraint is evaluated, and the constraint-based region executes responsive to the evaluated constraint.

A multi-model cooperative defense method facing deep learning antagonism attack comprises the following steps of: 1) performing unified modeling based on a gradient attack to provide a [Rho]-loss model; 2) according to design of a unified model, for an countering attack of a target model fpre(x), according to a generation result of a countering sample, classifying a basic expression form of an attack into two classes; 3) analyzing the parameters of the model, performing parameter optimization of the [Rho]-loss model and search step length optimization of a disturbance solution model for the countering sample; and 4) for the mystique of a black box attack, designing an experiment based on an adaboost concept, generating a plurality of different types of substitution models, used to achievethe same task, for integration, designing a multi-model cooperative defense method with high defense capability through an attack training generator of an integration model with high defense capability, and providing multi-model cooperative detection attack with weight optimal distribution. The multi-model cooperative defense method is high in safety and can effectively defense the attack of a deep learning model for the antagonism attack.

The invention discloses an image classification method and device based on semi-supervised deep learning and a storage medium. The method includes: acquiring label training image samples and non-labeltraining image samples, and obtaining a label training set; combining deep learning and semi-supervised learning to carry out training of a convolutional neural network (CNN) on the label training set, and establishing a unified model of semi-supervised deep learning and unlabeled-sample class estimation; and carrying out image recognition / classification on the basis of the model of semi-supervised deep learning and unlabeled sample class estimation. According to the method, distinguishing information hidden in non-label training data can be utilized, high separability of current deep features can also be utilized at the same time, the unlabeled samples can be more efficiently and accurately utilized, and thus better image recognition performance can be obtained.

The invention relates to a travelling risk field-based automobile driving safety assistance method which comprises the steps of (1) establishing a travelling risk field unified model according to the combined action of all factors of people, automobiles and roads in the ambient environment for the travelling risk; (2) establishing a self automobile travelling risk field model by building a mathematical model of the kinetic energy field, the potential energy field and the behavior field of objects in the ambient environment, and calculating the total field intensity of the travelling risk field of a self automobile; (3) calculating the acting force applied to the self automobile in the travelling risk field based on the total field intensity of the travelling risk field; (4) calculating the travelling risk factor of the self automobile according to the acting force applied to the self automobile in the travelling risk field, and carrying out safety assistance in the travelling process based on the risk factor. The method is suitable for decision of driving safety assistance in the complex environment and the route planning of an intelligent vehicle.

The invention discloses a power grid multi-source data fusion method and system based on a multi-element heterogeneous model. The method comprises the following steps of multi-source data access, metadata storage, unified device modeling and data extraction, model matching degree calculation and multi-element data fusion. The system mainly comprises the five modules of multi-source data access, metadata storage, unified device modeling and data extraction, model matching degree calculation and multi-element data fusion. A unified model including multi-source system data is established by deeply analyzing the multi-source system data, automatic association is performed through model traversal comparison and model matching degree calculation according to the matching degree, automatic data integration and fusion of 90% or above is achieved, unfused data details and detailed causes are accurately analyzed, integration and fusion of various service data are achieved, and the overall fusion quality is effective managed and controlled.

Pathological analysis needs instance-level labeling on a histologic image with high accurate boundaries required. To this end, embodiments of the present invention provide a deep model that employs the DeepLab basis and the multi-layer deconvolution network basis in a unified model. The model is a deeply supervised network that allows to represent multi-scale and multi-level features. It achieved segmentation on the benchmark dataset at a level of accuracy which is significantly beyond all top ranking methods in the 2015 MICCAI Gland Segmentation Challenge. Moreover, the overall performance of the model surpasses the state-of-the-art Deep Multi-channel Neural Networks published most recently, and the model is structurally much simpler, more computational efficient and weight-lighted to learn.

The preferred embodiment provides a system and method for automatically generating enterprise software applications with minimal level of manual coding. The preferred embodiment provide a graphical design tool that models an application using Unified Model Language (UML), validate the UML model, and automatically generate deployable application. The preferred embodiment also provides a framework of libraries that the target application can be build from.

This invention relates to a structure and analysis method for geographical 3-D unified models of water conservancy and water and electricity engineering, which couples multi-source data by the mixed data structure of NURBS YIN and BRep to realize 3-D unified modeling to all modeling objects and analyze said 3-D model including: analyzing the space geographical structure of the coupled multi-source data, carrying out sorted geometry modeling based on the mixed data structure of the NURBS, TIN and the BRep, carrying out Boolean operation based on the space relation among them and analysis and test for reliability to finish the structure of the 3-D unified model and finish the geographical analysis to water conservancy and water electricity engineering.

The invention provides an OLAP multi-dimensional analysis and data mining system. The system comprises a data model, a distributed OLAP engine, an OLAP analysis engine, a multi-dimensional report analysis interface, a data mining interface and a data visualization tool; the data model is dragged by a user through a visual interface to finish data modeling, and has unified model configuration; thesystem automatically performs model adaptation and enables the data model to be called by cooperation with internal other engines or tools; the distributed OLAP engine provides a multi-dimensional data model preprocessing capability for the OLAP system; the OLAP analysis engine supports a multi-dimensional query analysis engine of a big data platform and a relational database, and analyzes an MDXstatement to obtain a standard SQL; the multi-dimensional report analysis interface and the data mining interface have multi-dimensional data analysis and data mining functions and provide a report analysis method and a data mining algorithm model; and the data visualization tool provides a visual service for report analysis and data mining in the multi-dimensional report analysis interface and the data mining interface, and provides visual result social sharing and chart management functions.

A system and method for implementing a unified model for integration systems is presented. A user provides inputs to an integrated language engine for placing operator components and arc components onto a dataflow diagram. Operator components include data ports for expressing data flow, and also include meta-ports for expressing control flow. Arc components connect operator components together for data and control information to flow between the operator components. The dataflow diagram is a directed acyclic graph that expresses an application without including artificial boundaries during the application design process. Once the integrated language engine generates the dataflow diagram, the integrated language engine compiles the dataflow diagram to generated application code.

The present invention provides a unified model-based Beidou undifferenced and uncombined PPP (precise point positioning)-RTK (real-time kinematic) positioning method. According to the method, as for users on the globe, real-time orbits and clock error corrections are received, so that undifferenced and uncombined PPP calculation is performed; initialization is performed, so that decimeter-centimeter-level precision positioning is realized; for users in regions, integrated error corrections of the regions are received, undifferenced network RTK calculation is performed; and initialization is performed, so that centimeter-level precision positioning is realized. With the method of the invention adopted, the seamless linking of undifferenced PPP data processing and undifferenced network RTK data processing can be realized, fast and high-precision positioning services can be provided, and the total electron content of an ionized layer and the differential code deviation information of a receiver can be obtained.

Integration of MES and Controls engineering The invention relates to a system and a method for integrated development of projects of different levels, especially of automation projects in the MES and Controls area. The integrated development is facilitated by the use of uniform models. In this case a first project planning solution, especially an automation solution at the control level, is created in a first project planning environment (1), a second project planning solution, especially a solution for coordination of processes and / or execution sequences of the first project planning solution, is created in at least a second project planning environment (2) with a common data and / or object model being used by the project planning environments at least for the creation of the project planning solutions of the project planning environments and data and / or objects being identified in one of the two project planning solutions for use in the other project planning solution in each case.

Multiple development models of software applications utilizing different service environments may be annotated with additional information and transformed within a transformation chain into a resulting unified performance analysis model that may be used to evaluate the development models, for example, for simulations and / or analytical sensitivity analysis by utilizing different performance analysis environments. By relating elements of the development models through the transformation chain to elements of resulting unified models, the evaluation may be performed with respect to the resulting / transformed model, but provided to a user in terms of the original development models. In this way, a user of the development models may work with the more-familiar development models, utilizing multiple different performance analysis tools, without having to alter the development models directly in order to obtain the evaluation.

The invention discloses a construction method and device of a project recommendation model based on a hybrid neural network and a project recommendation method. The construction method comprises the following steps: filtering comment information, preprocessing the filtered comment information, and learning context features related to a project in the preprocessed comment information and user features and project features in scoring information by using a convolutional neural network; subsequently, fusing and interacting the project characteristics in the user-project scoring information and the context characteristics in the comment information, integrating the learned user characteristics and the fused project characteristics into a multi-task learning framework, and performing joint training to obtain a project recommendation model based on the hybrid neural network. According to the invention, the two heterogeneous data of the scoring information and the comment information are integrated into one unified model, so that the implicit feature vectors of the user and the project can be learned more accurately, and the purposes of improving the performance of the recommendation system and improving the recommendation effect are achieved.

The invention provides a public service platform for industrial energy management. The public service platform comprises an application layer, a data center and a communication layer. The application layer mainly comprises parts of energy consumption online monitoring, economic operation analysis, electronic energy-saving supervision and enterprise service. The data center comprises a data storage module and a data analysis module. The communication layer is a data collection and data unification and normalization processing part. The system is based on enterprise CIM, and a unified data model is established via unified and normalized processing of enterprise information and energy consumption information, and a double engine mass big data management platform; according to the system provided by the invention, data sent by monitoring apparatuses of existing industrial enterprises can be encoded uniformly and a unified model parameter service is provided; and a standard real-time data service is provided for online monitoring of energy consumption and an energy-saving diagnostic decision, thereby solving the problems that existing enterprise energy consumption online monitoring systems are imperfect, the overall energy consumption trends and economic operating situations of the industrial enterprises cannot be comprehensively and timely grasped by government agencies, and the like.

The invention discloses a unified model of a catadioptric omnidirectional camera and a calibration method thereof. The unified model of the catadioptric omnidirectional camera is formed by a virtual unit ball, a virtual viewpoint, a normalization plane and an imaging plane. On the basis of the unified model, a plurality of calibration plate images acquired through the catadioptric omnidirectional camera are utilized to calibrate the parameters of the model and the pose relationship between a calibration board and the catadioptric omnidirectional camera. On the condition that misalignment of the catadioptric omnidirectional camera exists, precision of the model is far higher than that of a unified imaging model of a traditional single view point catadioptric camera. Compared with other non-single-view-point imaging model, the model is simple in imaging model, strong in operability, quick in optimizing speed, and good in precision and noise-resistant performance. The calibration method is high in accuracy and convenient to operate, and is quick in non-linear optimized speed due to original value calculation.

The invention relates to a virtual machine migration method and device. The method includes the steps that mainframes with mainframe information conforming to the same selection standard are defined as the same mainframe set so as to form a mainframe set pool, wherein the mainframe set pool comprises at least one mainframe set; the migration range of a virtual machine is determined from the mainframe set pool according to configuration items of the virtual machine or the virtual machine migration range property in properties, wherein the virtual machine migration range property is used for determining the migration range of the virtual machine; the target mainframe of the virtual machine is determined in the migration range of the virtual machine. According to the virtual machine migration method and device, a unified model for the migration range of the virtual machine is provided, different migration ranges can be flexibly set for different virtual machines, and management and control over the virtual machines are simplified and unified.

The template-based fast engineering design method comprises: secondary packing integration of different engineering application or self-developed software to build software database for control and calling; acquiring engineering data (such as rule, history data, method and case) to build engineering database; building design and analysis template included code to call database and dialog box for interactivity, and implementing the design analysis automation. This invention improves design efficiency and quality with less cost.

The invention discloses a method for restoring missing air temperature records on the basis of spatial-temporal information fusion. The method includes steps of preprocessing air temperature sequence data and indicating missing air temperatures by specific symbols; analyzing spatial-temporal characteristics of air temperatures to construct an air temperature distribution model, and decomposing air temperature variables into air temperature trend terms and air temperature residual terms; analyzing time sequences of air temperature and time sequences to estimate air temperature trend terms of the missing records and estimating residual terms of the missing records by a Kriging interpolation process; restoring the missing air temperature records. The method has the advantages that the spatial-temporal distribution characteristics of the air temperatures are comprehensively considered and are fused into the unified model, so that the missing air temperature record restoring precision can be greatly improved, the computational complexity is low, the method is easy to implement and has a broad application prospect, and the like.

The invention discloses a power secondary system modeling method and a system. A model which is established according to the method and the system comprises a data model, a resource model and a dependence relationship model. The problems in the three aspects of classification object management, the combination of management object organization and power grid architecture, and the description of a complex relationship are solved. The complexity and the maintenance difficulty, which are caused by the fact that the same model is used to solve the problems in the three aspects, are avoided. Related concepts of an IEC61970 CIM model is introduced into the resource model. Each management object of a secondary system is combined with a power grid primary model. A unified model of primary and secondary models of a power grid are provided. For a business dependence relationship description method, four kinds of basic services are summarized. Public infrastructure services are abstracted. The complex multi-to-multi dependence relationship is decomposed to various kinds of services. Re-organization is carried out under the guidance of finally reflecting the business operation condition. The problem of defining the dependence relationship among a business, software and hardware and between the business and other businesses is solved.

The invention discloses a three-line-array camera image collaborative absolute radiometric calibration and compensation method. The three-line-array camera image collaborative absolute radiometric calibration and compensation method comprises following steps: 1) respective relative radiometric calibration of three-line-ray camera images; 2) calculation of ground target reflectivity; 3) calculation of atmosphere parameters; 4) respective spectral response calculation of the three-line-ray camera; 5) respective entrance pupil radiance calculation of the three-line-array camera; 6) calculation of three-line-array collaborative absolute radiometric calibration coefficients; and 7) absolute radiometric correction based on the three-line-array collaborative absolute radiometric calibration coefficients. According to the three-line-array camera image collaborative absolute radiometric calibration and compensation method, an unified model is constructed based on the radiation response relationship of front sight, fore sight and back sight images of the three-line-array camera, so that actual spectral characteristics of the ground target are reflected by the radiation response of three-line-array imagines, and the foundation for photogrammetric stereoplotting and remote sensing quantitative application is provided.

The present invention discloses an oil drilling engineering accident early warning system based on a hierarchy fuzzy system. First, a stimulant database for oil drilling engineering accident early warning is created; second, an input variable for oil drilling engineering accident early warning; third, the characteristic information of input signals is analyzed; fourth, a structural model of the hierarchy fuzzy system is created; fifth, an interval mapping and a hierarchy fuzzy reasoning of a unified model are done for the input variable in the third step; sixth, the output quantity of the oil drilling engineering accident early warning system is confirmed; seventh, the self-adjustment of the early warning result is done. The present invention has the advantages that the hierarchy fuzzy system is used to translate the excessive physical variable in the oil drilling engineering accident early warning system into a hierarchy system formed by connecting hierarchically with a reduced dimensionality fuzzy unit, and make the regular number of the fuzzy system increase with the number of the input variable linearly, thereby putting an end to the phenomenal of dimension calamity, and realizing the purpose of early warning for the oil drilling engineering accident accurately, efficiently and conveniently.

The invention relates to a code generation method and device, which generates codes under a J2EE open source integrated framework. The method comprises the following steps: a, selecting showing types required to be generated according to service conditions; b, creating uniform models according to the conditions of data sources, wherein the data sources comprise JAVA objects, XML data, the physical table or JSON data of a relational data base; c, determining the class path of an entity class according to the conditions of the unified models; d, processing the attribute of an entity according to the conditions of the unified models; and e, generating code files according to the attribute of the entity, whrein the code files comprise background codes, foreground codes and configuration codes. The method and the device can better solve the problems of the repeating of service codes art and the standardization and unification of codes which can not be solved by the prior framework.

Generating in a computer system and deploying a data model of a plurality of database cluster configuration availability solutions over a computer network by creating a database cluster configuration modeling specification including objects contained in a unified model language diagram providing a definition of a database cluster configuration data model. Creating the database cluster configuration data model using the database cluster configuration modeling specification and upon receiving signals from a graphical user interface or from XML batch data files or from application programming interfaces, indicating the definition of the cluster configuration model. After creating the graphical database cluster configuration data model, constraints that specify a valid logical configuration are validated and the solution is transformed into data understandable by database cluster manager software applications and then transmitted over a network to multiple cluster manager targets to be incorporated as database cluster configuration availability solutions.

The invention relates to a tolerance unified modeling method for a mechanical product, which adopts technologies of graph theory, vectors and characteristics, etc., and implements part tolerance element modeling, part tolerance modeling, assembly fit tolerance modeling and assembly body tolerance modeling layer by layer from bottom to top according to an assembly decomposition structure of the product, thereby realizing the unified modeling of product tolerances. The tolerance unified modeling method of the invention is characterized in that: the part tolerance element model is firstly established; each part tolerance element modeling built by extended directed graphs is adopted, and all the part tolerance element modeling are adopted to establish the part tolerance element models by a summation operation of the extended directed graphs; and each assembly fit tolerance modeling built by the extended directed graphs is adopted to establish a produc tolerance unified modeling. The tolerance unified modeling method for the mechanical product has the advantages of realizing the unified modeling of a dimension tolerance, a shape tolerance, a position tolerance and an assembly matching tolerance of the mechanical product. First, the diversity and the ambiguity of the tolerance models are eliminated; second, an assembly dimension chain and error accumulation analysis can be established conveniently.

A system and method for implementing a unified model for integration systems is presented. A user provides inputs to an integrated language engine for placing operator components and arc components onto a dataflow diagram. Operator components include data ports for expressing data flow, and also include meta-ports for expressing control flow. Arc components connect operator components together for data and control information to flow between the operator components. The dataflow diagram is a directed acyclic graph that expresses an application without including artificial boundaries during the application design process. Once the integrated language engine generates the dataflow diagram, the integrated language engine compiles the dataflow diagram to generated application code.